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Many scientific fields such as neuroscience, psychology,
operations research, management science have modeled,
analyzed, and tried to understand how people make
decisions, with various tools, techniques and approaches
within their own conventional theoretical frameworks.
Recent advances in technology have accelerated brain
research, and have given the opportunity to experiment and
question the theoretical frameworks related to decision
making developed in various disciplines. In this
regard, decision making has become of particular interest
to scientific fields such as cognitive and behavioral
neuroscience, cognitive psychology, computational sociology
and neuroeconomics.
In this course, the students will learn how to model
realistically and consistently the basic elements of
decision making, i.e., the value system and objectives
, alternatives, uncertainties, and preferences, based on
the mathematical frameworks provided by various fields
such as economics, operations research, computer sciences,
as well as cognitive, physiological, and behavioral
neuroscience.
In the course, some mathematical tools, techniques
and approaches (e.g., decision trees, game theory,
mathematical programming, modeling uncertainty and Bayes
theorem, Bayesian learning, modeling of preferences and
vNM utility theory, entropy, decision tree learning and
artificial neural networks) which will provide an
analytical framework for decision making an learning
will be covered. Aside to these techniques findings from
the recently growing fields such as neuroeconomics,
behavioral economics and behavioral neuroscience (e.g.,
prospect theory, conditioning, reinforcement, reward
and punishment, expectation of judgment and decision-
making, experience and deferral) will also be discussed
within the same framework. In the course neural
processes and mechanisms of social and individual decision
making, behavior and choice (e.g., reward perception,
learning types, attention, memory, belief systems,
interaction with motor processes, trust, cooperation,
alturism, social behavior) will be addressed and supported
by neuroethological comparisons.
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